Triple
T3117847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naphtali |
E65104
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Shillem
Shillem is a minor biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
|
E329745
|
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: Shillem | Statement: [Naphtali, parent, Shillem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shillem Context triple: [Naphtali, parent, Shillem]
-
A.
Huelén
Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
-
B.
Shilb
Shilb is the historical name of the town now known as Silves, a former Moorish stronghold and important medieval center in southern Portugal.
-
C.
Zwenkau
Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
-
D.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
E.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
- 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: Shillem Triple: [Naphtali, parent, Shillem]
Generated description
Shillem is a minor biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shillem Target entity description: Shillem is a minor biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
-
A.
Huelén
Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
-
B.
Shilb
Shilb is the historical name of the town now known as Silves, a former Moorish stronghold and important medieval center in southern Portugal.
-
C.
Zwenkau
Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
-
D.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
E.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e73cc88190846ef37ccf1a0de7 |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f63f8f881909348d4c6eb3c7e20 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2138e2bdc8190aa0a8a1dcd1e20fc |
completed | March 12, 2026, 1:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b21438b6e881908da0117ebc9bb2b4 |
completed | March 12, 2026, 1:17 a.m. |
Created at: March 8, 2026, 3:04 p.m.