Triple
T5083403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zahi Hawass |
E114576
|
entity |
| Predicate | hasAppearedIn |
P795
|
FINISHED |
| Object | television documentaries on ancient Egypt |
—
|
LITERAL FINISHED |
How this triple was built (2 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: television documentaries on ancient Egypt | Statement: [Zahi Hawass, hasAppearedIn, television documentaries on ancient Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAppearedIn Context triple: [Zahi Hawass, hasAppearedIn, television documentaries on ancient Egypt]
-
A.
appearedWith
Indicates that two entities were present or participated together in the same context, event, or medium.
-
B.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
C.
tvShowAppearance
Indicates that an entity appears or participates in a particular television show.
-
D.
alsoPlayedIn
Indicates that an entity (such as a person or performer) participated or appeared in another work, production, or context in addition to the one already referenced.
-
E.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
- F. None of above.
Provenance (3 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.