Triple
T2185851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian hieroglyphs |
E49149
|
entity |
| Predicate | standardReference |
P33736
|
FINISHED |
| Object |
Gardiner's sign list
Gardiner's sign list is the widely used scholarly catalog of common Egyptian hieroglyphic signs, created by British Egyptologist Sir Alan Gardiner.
|
E243054
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gardiner's sign list | Statement: [Egyptian hieroglyphs, standardReference, Gardiner's sign list]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardiner's sign list Context triple: [Egyptian hieroglyphs, standardReference, Gardiner's sign list]
-
A.
Gardner
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
-
B.
Gardner James
Gardner James was an American film actor active during the silent and early sound eras, known for supporting roles in adventure and drama films.
-
C.
Gillies
Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
-
D.
Gibbs
Gibbs is a common English surname borne by various notable individuals across fields such as sports, science, and entertainment.
-
E.
Praeger-Kavanagh-Waterbury
Praeger-Kavanagh-Waterbury was an American architectural firm best known for designing New York’s Shea Stadium.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gardiner's sign list Triple: [Egyptian hieroglyphs, standardReference, Gardiner's sign list]
Generated description
Gardiner's sign list is the widely used scholarly catalog of common Egyptian hieroglyphic signs, created by British Egyptologist Sir Alan Gardiner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gardiner's sign list Target entity description: Gardiner's sign list is the widely used scholarly catalog of common Egyptian hieroglyphic signs, created by British Egyptologist Sir Alan Gardiner.
-
A.
Gardner
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
-
B.
Gardner James
Gardner James was an American film actor active during the silent and early sound eras, known for supporting roles in adventure and drama films.
-
C.
Gillies
Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
-
D.
Gibbs
Gibbs is a common English surname borne by various notable individuals across fields such as sports, science, and entertainment.
-
E.
Praeger-Kavanagh-Waterbury
Praeger-Kavanagh-Waterbury was an American architectural firm best known for designing New York’s Shea Stadium.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf1152688190955c14c0937deefd |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dab44008190aeb4f77b73db2b36 |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e5f023081909cd046b5850f8026 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ef99018819083a778378ea493e8 |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:45 p.m.