Triple
T12729331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Lash |
E304190
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lash |
E715438
|
NE 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: Lash | Statement: [Jennifer Lash, familyName, Lash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lash Context triple: [Jennifer Lash, familyName, Lash]
-
A.
Lash
chosen
Lash is the given name of the person after whom the Lash Miller Chemical Laboratories were named, likely a notable chemist or academic figure.
-
B.
Unhas
Unhas is the commonly used abbreviation for Hasanuddin University, a major public university located in Makassar, Indonesia.
-
C.
Mascara
Mascara is a city in northwestern Algeria known for its historical significance and role in the resistance led by Emir Abdelkader.
-
D.
Kesh
Kesh is the Sikh practice of maintaining uncut hair, symbolizing spiritual devotion and respect for the natural form given by God.
-
E.
Kesh
Kesh was a historic Central Asian city in present-day Uzbekistan, known as the birthplace of the conqueror Timur (Tamerlane).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964172490819080cd022ff8290b6e |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8a4b7c8190a514b623a7364fd7 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:25 p.m.