Triple
T4245745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Searchers |
E95523
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object |
Scar
Scar is the ruthless Comanche chief who serves as the primary adversary in the classic Western film "The Searchers."
|
E423999
|
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: Scar | Statement: [The Searchers, antagonist, Scar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scar Context triple: [The Searchers, antagonist, Scar]
-
A.
Scar
Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
-
B.
Scars
"Scars" is a soulful, emotionally charged song by British singer-songwriter James Bay that reflects on vulnerability, healing, and the lingering impact of past relationships.
-
C.
Burn
Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
-
D.
Burn
"Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
-
E.
Burn
Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
- 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: Scar Triple: [The Searchers, antagonist, Scar]
Generated description
Scar is the ruthless Comanche chief who serves as the primary adversary in the classic Western film "The Searchers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scar Target entity description: Scar is the ruthless Comanche chief who serves as the primary adversary in the classic Western film "The Searchers."
-
A.
Scar
Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
-
B.
Scars
"Scars" is a soulful, emotionally charged song by British singer-songwriter James Bay that reflects on vulnerability, healing, and the lingering impact of past relationships.
-
C.
Burn
"Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
-
D.
Burn
Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
-
E.
Burn
Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8db5bc8190873c5ae3753aaa58 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87993648190b2969505cdf3c554 |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a966f154819083f7864b154f7518 |
completed | March 14, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5aa0ed71c81908d9bf530b4557984 |
completed | March 14, 2026, 6:33 p.m. |
Created at: March 12, 2026, 11:05 p.m.